Reinforcer pathology among cigarette smokers with and without history of alcohol use disorder

  1. Alba González-Roz 1
  2. Álvaro Postigo 1
  3. Gema Aonso-Diego 1
  4. Ángel García-Pérez 1
  5. Roberto Secades-Villa 1
  1. 1 Universidad de Oviedo
    info

    Universidad de Oviedo

    Oviedo, España

    ROR https://ror.org/006gksa02

Revista:
Psicothema

ISSN: 0214-9915,  1886-144X

Any de publicació: 2019

Volum: 31

Número: 4

Pàgines: 393-399

Tipus: Article

DIALNET GOOGLE SCHOLAR lock_openAccés obert editor

Altres publicacions en: Psicothema

Resum

Background: Delay discounting (DD) and cigarette demand contribute to an understanding of nicotine reward and dependence. However, no prior attempt has been made to examine the effect of a history of Alcohol Use Disorder (AUD) on DD and tobacco demand in current smokers. This study sought to compare DD and cigarette demand in smokers with and without a history of AUD. Methods: The sample comprised 43 smokers with a history of AUD and 49 with no history of drug use. Participants completed the DD task and the 19-item version of the Cigarette Purchase Task. Mazur’s equation and the Koffarnus et al. model were used to derive the discounting rates and elasticity of demand, respectively. Results: Smokers with a history of AUD discounted delayed rewards more steeply (Mlogk= -1.77, SD=1.46) than those without such a history (Mlogk= -2.32, SD=1.04). No statistically significant differences in cigarette demand emerged between groups. Conclusions: The excessive preference for immediate rewards in smokers with a history of AUD suggests that impulsive choice persists even after alcohol abstinence. As DD constitutes an important marker of poor treatment outcomes, targeting this specific facet of impulsivity in broader clinical interventions might be helpful.

€ Mostra el finançament

Informació de finançament

This research was supported by the Spanish National Plan on Drugs (PNSD: Ref. MSSSI-17-2017I036), grants from the National Agency of Research of the Spanish Ministry of Science, Innovation and Universities (BES-2016-076663: FPU17/00659: FPU15/04327), and a predoctoral grant from the Ministry of Education and Culture of the Principality of Asturias (BP17-78). These institutions were not involved in the study design, collection, analysis, or interpretation of the data, writing the manuscript, or the decision to submit the paper for publication.

Finançadors

Referències bibliogràfiques

  • Aston, E. R., Metrik, J., & MacKillop, J. (2015). Further validation of a marijuana purchase task. Drug and Alcohol Dependence, 152, 32-38. doi: 10.1016/j.drugalcdep.2015.04.025
  • Aubin, H. J., Laureaux, C., Tilikete, S., & Barrucand, D. (1999). Changes in cigarette smoking and coffee drinking after alcohol detoxification in alcoholics. Addiction, 94, 411-416.
  • Becoña, E. (2018). Brain disease or biopsychosocial model in addiction? Remembering the vietnam veteran study. Psicothema, 30, 270-275. doi: 10.7334/psicothema2017.303c
  • Becoña, E., & Vázquez, F. (1998). The Fagerström Test for Nicotine Dependence in a Spanish sample. Psychological Reports, 83, 1455- 1458. doi: 10.2466/pr0.1998.83.3f.1455
  • Bickel, W. K., Moody, L., & Higgins, S. T. (2016). Some current dimensions of the behavioral economics of health-related behavior change. Preventive Medicine, 92, 16-23. doi: 10.1016/j.ypmed.2016.06.002
  • Bickel, W. K., Yi, R., Landes, R. D., Hill, P. F., & Baxter, C. (2011). Remember the future: Working memory training decreases delay discounting among stimulant addicts. Biological Psychiatry, 69, 260- 265. doi: 10.1016/j.biopsych.2010.08.017
  • Bickel, W. K., Yi, R., Mueller, E. T., Jones, B. A., & Christensen, D. R. (2010). The behavioral economics of drug dependence: towards the consilience of economics and behavioral neuroscience. Current Topics in Behavioral Neurosciences, 3, 319-341. doi: 10.1007/7854_2009_22
  • Burton, S., Hoek, J., Nesbit, P., & Khan, A. (2015). “Smoking is bad, it’s not cool…yet I’m still doing it”: Cues for tobacco consumption in a ‘dark’ market. Journal of Business Research, 68, 2067-2074. doi: 10.1016/j.jbusres.2015.03.004
  • Camchong, J., Endres, M., & Fein, G. (2014). Decision making, risky behavior, and alcoholism. In E. V. Sullivan & A. Pfefferbaum (Eds.), Handbook of Clinical Neurology (pp. 227-236). UK: Elsevier.
  • Crews, F. T., & Boettiger, C. A. (2009). Impulsivity, frontal lobes and risk for addiction. Pharmacology, Biochemistry, and Behavior, 93, 237- 247. doi: 10.10167j.pbb.2009.04.018
  • Daeppen, J. B., Smith, T. L., Danko, G. P., Gordon, L., Landi, N. A., Nurnberger, J. I., Jr.,. .. Schuckit, M. A. (2000). Clinical correlates of cigarette smoking and nicotine dependence in alcohol-dependent men and women. The Collaborative Study Group on the Genetics of Alcoholism. Alcohol and Alcoholism, 35, 171-175. doi: 10.1093/ alcalc/35.2.171
  • Day, A. M., Kahler, C. W., Ahern, D. C., & Clark, U. S. (2015). Executive functioning in alcohol use studies: A brief review of findings and challenges in assessment. Current Drug Abuse Reviews, 8, 26-40.
  • Del Río Olvera, F. J., Santamaría, F. C., Cabello García, M. A., & Vela, J. A. (2018). Cuestionario de Ansiedad Estado Rasgo (STAI): Análisis psicométrico y funcionamiento en una muestra de drogodependientes y controles [State Trait Anxiety Inventory (STAI): Psychometric analysis and functioning in a sample of drug addicts and controls]. Universitas Psychologica, 17, 1-10. doi: 10.11144/Javeriana.upsy17-1.caer
  • Dermody, S. S., & Hendershot, C. S. (2017). A critical review of the effects of nicotine and alcohol coadministration in human laboratory studies. Alcoholism Clinical and Experimental Research, 41, 473-486. doi: 10.1111/acer.13321
  • Fagerström, K. O., Heatheron, T. F., & Kozlowski, L. T. (1990). Nicotine addiction and its assessment. Ear, Nose, & Throat Journal, 69, 763- 765.
  • Farris, S. G., Aston, E. R., Zvolensky, M. J., Abrantes, A. M., & Metrik, J. (2017). Psychopathology and tobacco demand. Drug and Alcohol Dependence, 177, 59-66. doi: 10.1016/j.drugalcdep.2017.03.020
  • García-Rodríguez, O., Secades-Villa, R., Álvarez Rodríguez, H., Río Rodríguez, A., Fernández-Hermida, J. R., Carballo, J. L.,. .. Al-Halabí Díaz, S. (2007). Effect of incentives on retention in an outpatient treatment for cocaine addicts. Psicothema, 19, 134-139.
  • García-Rodríguez, O., Secades-Villa, R., Weidberg, S., & Yoon, J. H. (2013). A systematic assessment of delay discounting in relation to cocaine and nicotine dependence. Behavioural Processes, 99, 100- 105. doi: 10.1016/j.beproc.2013.07.007
  • Gowin, J. L., Sloan, M. E., Ramchandani, V. A., Paulus, M. P., & Lane, S. D. (2018). Differences in decision-making as a function of drug of choice. Pharmacology Biochemistry and Behavior, 164, 118-124. doi: 10.1016/j.pbb.2017.09.007
  • Hayes, A. F (2013). Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Approach. The Guilford Press: New York.
  • Hintz, T., & Mann, K. (2007). Long-term behavior in treated alcoholism: Evidence for beneficial carry-over effects of abstinence from smoking on alcohol use and viceversa. Addictive Behaviors, 32, 3093-3100. doi: 10.1016/j.addbeh.2007.06.006
  • Holt, D. D., Green, L., & Myerson, J. (2012). Estimating the subjective value of future rewards: Comparison of adjusting-amount and adjusting-delay procedures. Behavioural Processes, 90, 302-310. doi: 10.1016/j.beproc.2012.03.003
  • Hufnagel, A., Frick, U., Ridinger, M., & Wodarz, N. (2017). Recovery from alcohol dependence: Do smoking indicators predict abstinence? American Journal on Addictions, 26, 366-373. doi: 10.1111/ ajad.12535
  • Hughes, J. R., & Kalman, D. (2006). Do smokers with alcohol problems have more diffi culty quitting? Drug and Alcohol Dependence, 82, 91- 102. doi: 10.1016/j.drugalcdep.2005.08.018
  • Hughes, J. R., Rose, G. L., & Callas, P. W. (2000). Nicotine is more reinforcing in smokers with a past history of alcoholism than in smokers without this history. Alcoholism Clinical and Experimental Research, 24, 1633-1638. doi: 10.1111/j.1530-0277.2000.tb01964.x
  • Kalman, D., Kahler, C. W., Garvey, A. J., & Monti, P. M. (2006). Highdose nicotine patch therapy for smokers with a history of alcohol dependence: 36-week outcomes. Journal of Substance Abuse Treatment, 30, 213-217. doi: 10.1016/j.jsat.2006.01.001
  • Kalman, D., Kahler, C. W., Tirch, D., Kaschub, C., Penk, W., & Monti, P. M. (2004). Twelve-week outcomes from an investigation of highdose nicotine patch therapy for heavy smokers with a past history of alcohol dependence. Psychology of Addictive Behaviors, 18, 78-82. doi: 10.1037/0893-164x.18.1.78
  • Khemiri, L., Brynte, C., Stunkel, A., Klingberg, T., & Jayaram-Lindstrom, N. (2019). Working memory training in alcohol use disorder: A randomized controlled trial. Alcoholism, Clinical and Experimental Research, 43, 135-146. doi: 10.1111/acer.13910
  • Kingston, R. E. F., Marel, C., & Mills, K. L. (2017). A systematic review of the prevalence of comorbid mental health disorders in people presenting for substance use treatment in Australia. Drug and Alcohol Review, 36, 527-539. doi: 10.1111/dar.12448
  • Kirby, K. N., & Petry, N. M. (2004). Heroin and cocaine abusers have higher discount rates for delayed rewards than alcoholics or nondrug- using controls. Addiction, 99, 461-471. doi: 10.1111/j.1360- 0443.2003.00669.x
  • Koffarnus, M. N., Franck, C. T., Stein, J. S., & Bickel, W. K. (2015). A modifi ed exponential behavioral economic demand model to better describe consumption data. Experimental & Clinical Psychopharmacology, 23, 504-512. doi: 10.1037/pha0000045
  • Koffarnus, M. N., & Kaplan, B. A. (2018). Clinical models of decision making in addiction. Pharmacology, Biochemestry, and Behavior, 164, 71-83. doi: 10.1016/j.pbb.2017.08.010
  • Levy, H. C., Katz, B. W., Das, A., Stevens, M. C., & Tolin, D. F. (2019). An investigation of delay and probability discounting in hoarding disorder. Journal of Psychiatric Research, 109, 89-95. doi: 10.1016/j. jpsychires.2018.11.019
  • López-Núñez, C., Martínez-Loredo, V., Weidberg, S., Pericot-Valverde, I., & Secades-Villa, R. (2016). Voucher-based contingency management and in-treatment behaviors in smoking cessation treatment. International Journal of Clinical and Health Psychology, 16, 30-38. doi: 10.1016/j.ijchp.2015.05.003
  • MacKillop, J., Amlung, M. T., Few, L. R., Ray, L. A., Sweet, L. H., & Munafo, M. R. (2011). Delayed reward discounting and addictive behavior: A meta-analysis. Psychopharmacology, 216, 305-321. doi: 10.1007/s00213-011-2229-0
  • MacKillop, J., Murphy, J. G., Ray, L. A., Eisenberg, D. T., Lisman, S. A., Lum, J. K., & Wilson, D. S. (2008). Further validation of a cigarette purchase task for assessing the relative reinforcing efficacy of nicotine in college smokers. Experimental & Clinical Psychopharmacology, 16, 57-65. doi: 10.1037/1064-1297.16.1.57
  • MacLean, R. R., Sofuoglu, M., & Rosenheck, R. (2018). Tobacco and alcohol use disorders: Evaluating multimorbidity. Addictive Behaviors, 78, 59-66. doi: 10.1016/j.addbeh.2017.11.006
  • Madden, G. J., & Bickel, W. K. (2010). Impulsivity: The behavioral and neurological science of discounting. Washington, DC: American Psychiatric Association.
  • Martínez-Loredo, V., Fernández-Hermida, J. R., Carballo, J. L., & Fernández-Artamendi, S. (2017). Long-term reliability and stability of behavioral measures among adolescents: The delay discounting and stroop tasks. Journal of Adolescence, 58, 33-39. doi: 10.1016/j. adolescence.2017.05.003
  • Mazur, J. E. (1987). An adjusting procedure for studying delayed reinforcement. In M. L. Commons, J. E. Mazur, J. A. Nevin, & H. Rachlin (Eds.), Quantitative analyses of behavior: The effect of delay and of intervening events on reinforcement value (pp. 55-73). Hillsdale, NJ: Erlbaum.
  • McKee, S. A., & Weinberger, A. H. (2013). How can we use our knowledge of alcohol-tobacco interactions to reduce alcohol use? Annual Review of Clinical Psychology, 9, 649-674. doi: 10.1146/annurev-clinpsy- 050212-185549
  • Míguez, M. C., López-Durán, A., Martínez-Vispo, C., Fernández del Río, E., Martínez, U., Rodríguez-Cano, R., & Becoña, E. (2018). Healthrelated quality of life among smoking relapsers. Psicothema, 30, 27- 32. doi: 10.7334/psicothema2017.61
  • Mishra, S., & Lalumière, M. L. (2017) Associations between delay discounting and risk-related behaviors, traits, attitudes, and outcomes. Journal of Behavioral Decision Making, 30, 769-781. doi: 10.1002/bdm.2000
  • Myerson, J., Green, L., & Warusawitharana, M. (2001). Area under the curve as a measure of discounting. Journal of the Experimental Analysis of Behavior, 76, 235-243.
  • Naim-Feil, J., Fitzgerald, P. B., Bradshaw, J. L., Lubman, D. I., & Sheppard, D. (2014). Neurocognitive deficits, craving, and abstinence among alcohol-dependent individuals following detoxification. Archives of Clinical Neuropsychology, 29, 26-37. doi: 10.1093/arclin/act090
  • Odum, A. L. (2011). Delay Discounting: I’m a k, you’re a k. Journal of the Experimental Analysis of Behavior, 96, 427-439. doi: 10.1901/ jeab.2011.96-423
  • Petry, N. M. (2001). Delay discounting of money and alcohol in actively using alcoholics, currently abstinent alcoholics, and controls. Psychopharmacology, 154, 243-250. doi: 10.1007/s002130000638
  • Reynolds, B., & Shiffbauer, R. (2004). Measuring state changes in human delay discounting: An experimental discounting task. Behavioural Processes, 67, 343-356. doi: 10.1016/j.beproc.2004.06.003
  • Rohsenow, D. J., Martin, R. A., Monti, P. M., Colby, S. M., Day, A. M., Abrams, D. B.,. .. Swift, R. M. (2014). Motivational interviewing versus brief advice for cigarette smokers in residential alcohol treatment. Journal of Substance Abuse Treatment, 46, 346-355. doi: 10.1016/j.jsat.2013.10.002
  • Rung, J. M., & Madden, G. J. (2018). Experimental reductions of delay discounting and impulsive choice: a systematic review and metaanalysis. Journal of Experimental Psychology General, 147, 1349- 1381. doi: 10.1037/xge0000462
  • Sanz, J., Perdigón, A., & Vázquez, C. (2003). The Spanish adaptation of Beck’s Depression Inventory-II (BDI-II). Clínica y Salud, 14, 249- 280.
  • Secades-Villa, R., Weidberg, S., González-Roz, A., Reed, D. D., & Fernández-Hermida, J. R. (2018). Cigarette demand among smokers with elevated depressive symptoms: An experimental comparison with low depressive symptoms. Psychopharmacology, 235, 719-728. doi: 10.1007/s00213-017-4788-1
  • Snider, S. E., LaConte, S. M., & Bickel, W. K. (2016). Episodic future thinking: Expansion of the temporal window in individuals with alcohol dependence. Alcoholism, Clinical and Experimental Research, 40, 1558-1566. doi: 10.1111/acer.13112
  • Spielberger, C. D., Gorsuch, R., & Lushene, R. (1970). Manual for the State-Trait Anxiety Inventory. Palo Alto, California: Consulting Psychologist Press.
  • Stamenova, V., & Levine, B. (2018). Effectiveness of goal management training® in improving executive functions: A meta-analysis. Neuropsychological Rehabilitation, 1-31. doi: 10.1080/09602011.2018.1438294
  • Stein, J. S., Koffarnus, M. N., Snider, S. E., Quisenberry, A. J., & Bickel, W. K. (2015). Identification and management of nonsystematic purchase task data: Toward best practice. Experimental and Clinical Psychopharmacology, 23, 377-386. doi: 10.1037/pha0000020
  • Stein, J. S., Tegge, A. N., Turner, J. K., & Bickel, W. K. (2017). Episodic future thinking reduces delay discounting and cigarette demand: An investigation of the good-subject effect. Journal of Behavioral Medicine, 4, 269-276. doi: 10.1007/s10865-017-9908-1
  • Verdejo-García, A., Alcázar-Córcoles, M. A., & Albein-Urios, N. (2019). Neuropsychological interventions for decision-making in addiction: A systematic review. Neuropsychology Review, 29, 79-92. doi: 10.1007/ s11065-018-9384-6
  • Wang, Y. P., & Gorenstein, C. (2013). Psychometric properties of the Beck Depression Inventory-II: A comprehensive review. Revista Brasileira de Psiquiatría, 35, 416-431. doi: 10.1590/1516-4446-2012-1048
  • Weidberg, S., González-Roz, A., & Secades-Villa, R. (2017). Delay discounting in e-cigarette users, current and former smokers. International Journal of Clinical and Health Psychology, 17, 20-27.
  • Weidberg, S., Landes, R. D., López-Núñez, C., Pericot-Valverde, I., González-Roz, A., Yoon, J. H., & Secades-Villa, R. (2015). Contingency management effects on delay discounting among patients receiving smoking cessation treatment. Psicothema, 27, 309-316. doi: 10.7334/ psicothema2015.184
  • Wiers, R. W., Boffo, M., & Field, M. (2018). What’s in a trial? On the importance of distinguishing between experimental lab studies and randomized controlled trials: The case of cognitive bias modifi cation and alcohol use disorders. Journal of Studies on Alcohol and Drugs, 79, 333-343. doi: 10.15288/jsad.2018.79.333
  • Wilson, A. G., Franck, C. T., Koffarnus, M. N., & Bickel, W. K. (2016). Behavioral economics of cigarette purchase tasks: Within-subject comparison of real, potentially real, and hypothetical cigarettes. Nicotine & Tobacco Research, 18, 524-530. doi: 10.1093/ntr/ ntv154
  • Yurasek, A. M., Murphy, J. G., Clawson, A. H., Dennhardt, A. A., & MacKillop, J. (2013). Smokers report greater demand for alcohol on a behavioral economic purchase task. Journal of Studies on Alcohol and Drugs, 74, 626-634. doi: 10.15288/jsad.2013.74.626
  • Xia, L., Gu, R., Zhang, D., & Luo, Y. (2017). Anxious individuals are impulsive decision-makers in the delay discounting task: An ERP study. Frontiers in Behavioral Neuroscience, 11, 5. doi:10.3389/ fnbeh.2017.00005
Fuente de los datos: Dialnet